Ing. Lukáš Matějů, Ph.D.

Ing. Lukáš Matějů, Ph.D.
Ústav informačních technologií a elektroniky (ITE): člen katedry

E-mail:: lukas.mateju@tul.cz
Kancelář:: A02023
Tel.:: +420 48535 3037
STAG:: profil na portálu STAG

Publikace

MATĚJŮ, L. aj. Combining Multilingual Resources and Models to Develop State-of-the-Art E2E ASR for Swedish Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH Dublin: ISCA, 2023 S. 3252 – 3256. ISSN: 2308-457X.
NOUZA, J., MATĚJŮ, L., ČERVA, P. a ŽĎÁNSKÝ, J. Developing State-of-the-Art End-to-End ASR for Norwegian Lecture Notes in Computer Science - including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Springer Science and Business, 2023 S. 200 – 213. ISBN: 978-303140497-9, ISSN: 03029743.
KYNYCH, F., ŽĎÁNSKÝ, J., ČERVA, P. a MATĚJŮ, L. Online Speaker Diarization Using Optimized SE-ResNet Architecture Lecture Notes in Computer Science Německo: Springer, 2023 S. 176 – 187. ISBN: 978-303140497-9, ISSN: 03029743.
MATĚJŮ, L. aj. Overlapped Speech Detection in Broadcast Streams Using X-vectors Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH Jižní Korea: ISCA, 2022 S. 4606 – 4610. ISSN: 2308-457X.
MATĚJŮ, L. aj. An Empirical Assessment of Deep Learning Approaches to Task-Oriented Dialog Management Neurocomputing Elsevier, 2021, roč. 439, č. 7. S. 327 – 339. ISSN: 0925-2312.
všechny publikace
ČERVA, P. aj. Identification of related languages from spoken data: Moving from off-line to on-line scenario Computer Speech and Language Elsevier, 2021, roč. 68, č. JUL. S. neuvedeny (19 stran). ISSN: 0885-2308.
ČERVA, P. aj. Identification of Scandinavian Languages from Speech Using Bottleneck Features and X-vectors Lecture Notes in Computer Science Switzerland: Springer Nature Switzerland AG, 2021 S. 371 – 381. ISBN: 978-303083526-2, ISSN: 0302-9743.
MATĚJŮ, L. aj. Using X-vectors for Speech Activity Detection in Broadcast Streams Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH ISCA, 2021 S. 4161 – 4165. ISBN: 978-171383690-2, ISSN: 2308-457X.
MATĚJŮ, L., ČERVA, P. a ŽĎÁNSKÝ, J. An Approach to Online Speaker Change Point Detection Using DNNs and WFSTs Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 1. vyd. Austria: ISCA, 2019 S. 649 – 653. ISSN: 2308-457X.
ŠAFAŘÍK, R. a MATĚJŮ, L. Automatic Development of ASR System for an Under-Resourced Language 41st International Conference on Telecommunications and Signal Processing (TSP) Řecko: IEEE, 2018 S. 100 – 103. ISBN: 978-153864695-3.
ŠAFAŘÍK, R., MATĚJŮ, L. a WEINGARTOVÁ, L. The Influence of Errors in Phonetic Annotations on Performance of Speech Recognition System Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 21st International Conference on Text, Speech, and Dialogue, TSD 2018 1. vyd. Springer Verlag, 2018 S. 419 – 427. ISBN: 978-303000793-5, ISSN: 0302-9743.
MATĚJŮ, L., ČERVA, P., ŽĎÁNSKÝ, J. a ŠAFAŘÍK, R. Using Deep Neural Networks for Identification of Slavic Languages from Acoustic Signal Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 1. vyd. Indie: ISCA, 2018 S. 1803 – 1807. ISSN: 2308-457X.
MATĚJŮ, L., ČERVA, P. a ŽĎÁNSKÝ, J. Investigation into the Use of WFSTs and DNNs for Speech Activity Detection in Broadcast Data Transcription Communications in Computer and Information Science Spolková republika Německo: Springer Verlag, 2017 S. 341 – 358. ISBN: 978-331967875-7, ISSN: 1865-0929.
MATĚJŮ, L., ČERVA, P., ŽĎÁNSKÝ, J. a MÁLEK, J. Speech Activity Detection in Online Broadcast Transcription Using Deep Neural Networks and Weighted Finite State Transducers 2017 IEEE IICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedingsnternational Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 USA: Institute of Electrical and Electronics Engineers Inc., 2017 S. 5460 – 5464. ISBN: 978-1-5090-4117-6, ISSN: 1520-6149.
ŠAFAŘÍK, R. a MATĚJŮ, L. The Impact of Inaccurate Phonetic Annotations on Speech Recognition Performance Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Německo: Springer Verlag, 2017 S. 402 – 410. ISBN: 9783319642055, ISSN: 0302-9743.
BOHÁČ, M., MATĚJŮ, L., ROTT, M. a ŠAFAŘÍK, R. Automatic Syllabification and Syllable Timing of Automatically Recognized Speech - for Czech Proc. of the 19th International Conference of Text, Speech, and Dialogue - TSD 2016 Switzerland: Springer International Publishing, 2016 S. 540 – 547. ISBN: 978-3-319-45509-9, ISSN: 0302-9743.
ŠAFAŘÍK, R. a MATĚJŮ, L. Impact of phonetic annotation precision on automatic speech recognition systems 2016 39th International Conference on Telecommunications and Signal Processing, TSP 2016 Rakousko, Vídeň: Institute of Electrical and Electronics Engineers Inc., 2016 S. 311 – 314. ISBN: 978-1-5090-1287-9, ISSN: 1805-5435.
MATĚJŮ, L., ČERVA, P. a ŽĎÁNSKÝ, J. Study on the use of deep neural networks for speech activity detection in broadcast recordings ICETE 2016 - Proceedings of the 13th International Joint Conference on e-Business and Telecommunications Lisabon, Portugalsko: SciTePress, 2016 S. 45 – 51. ISBN: 978-989-758-196-0.
MATĚJŮ, L., ČERVA, P. a ŽĎÁNSKÝ, J. Investigation into the use of deep neural networks for LVCSR of Czech 2015 IEEE International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics 1. vyd. Česká Republika: IEEE, 2015 S. 38 – 41. ISBN: 978-1-4799-6972-2.

Témata studentských prací

Fearless Steps Challenge: Detekce řeči v audio nahrávkách z NASA programu Apollo, ITE, 2024
Identifikace slovanských jazyků z audio nahrávky na datové sadě VoxLingua107, ITE, 2024
Sběr a analýza dat pro E2E rozpoznávání řeči - francouzština, ITE, 2024

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Ing. Lukáš Matějů, Ph.D.

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